{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7e4d97b2",
   "metadata": {},
   "source": [
    "#### 1.5.1 二元数据的数字特征\n",
    "\n",
    "> 示例\n",
    "```\n",
    "某种矿石有两种有用成分A、B，取10个样本，每个样本中成分A的含量百分数x（%）及B的含量百分数y（%）的数据如下。计算样本的均值、方差、协方差和相关系数\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7fa29b9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy.stats as st\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 设置字体为楷体\n",
    "plt.rcParams['font.sans-serif'] = ['KaiTi']\n",
    "# 用来正常显示负号\n",
    "plt.rcParams['axes.unicode_minus'] = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b8109e45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "矿石数据：\n",
      " [[67 24]\n",
      " [54 15]\n",
      " [72 23]\n",
      " [64 19]\n",
      " [39 16]\n",
      " [22 11]\n",
      " [58 20]\n",
      " [43 16]\n",
      " [46 17]\n",
      " [34 13]]\n",
      "\n",
      "矿石两种有用成分百分比：\n",
      "      均值\n",
      "x  49.9\n",
      "y  17.4\n",
      "\n",
      "两种成分的协方差矩阵：\n",
      "         x      y\n",
      "x  252.77  60.60\n",
      "y   60.60  17.16\n",
      "\n",
      "两种成分的相关系数矩阵：\n",
      "       x     y\n",
      "x  1.00  0.92\n",
      "y  0.92  1.00\n"
     ]
    }
   ],
   "source": [
    "# 矿石\n",
    "\n",
    "x = np.array([67, 54, 72, 64, 39, 22, 58, 43, 46, 34])\n",
    "y = np.array([24, 15, 23, 19, 16, 11, 20, 16, 17, 13])\n",
    "\n",
    "# 将数据合并，合并成列向量\n",
    "data = np.c_[x, y]  # 此函数比较常用\n",
    "print('矿石数据：\\n', data)\n",
    "\n",
    "# 两种成分的均值，注意 mean函数的axis参数指定计算哪个轴方向，此处为列向量\n",
    "# axis=0 列方向向量\n",
    "print('\\n矿石两种有用成分百分比：\\n', pd.DataFrame(np.mean(data, axis=0),\n",
    "                                      index=['x', 'y'], columns=['均值']))\n",
    "\n",
    "# 协方差矩阵与相关系数矩阵\n",
    "print('\\n两种成分的协方差矩阵：\\n', pd.DataFrame(np.round(np.cov(data.T), 2),\n",
    "                                     index=['x', 'y'], columns=['x', 'y']))\n",
    "print('\\n两种成分的相关系数矩阵：\\n', pd.DataFrame(np.round(np.corrcoef(data.T), 2),\n",
    "                                      index=['x', 'y'], columns=['x', 'y']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b44660e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "矿石有用成分之间有无关联性（Pearsonr函数）： (0.9202595441018039, 0.000160515795825038)\n",
      "\n",
      "矿石有用成分之间有无关联性（spearmanr）： SpearmanrResult(correlation=0.8997002046464955, pvalue=0.00039167359562948393)\n",
      "\n",
      "矿石有用成分之间有无关联性（kendalltau）： KendalltauResult(correlation=0.764093177458341, pvalue=0.002263469812035179)\n"
     ]
    }
   ],
   "source": [
    "# 对矿石两种成分之间的相关性检验，分析两种成分之间是否有相关性\n",
    "# 对于数据的检验，在《第三章：假设检验》进行重点讲解\n",
    "\n",
    "# 注意：pearsonr检验的原假设是数据产生自不相关的数据集\n",
    "# 很显然，p值远小于0.05，可以拒绝接受不是产生自同一个数据集的原假设，（接受备择假设，两个样本高度相关）。\n",
    "# 二者之间的相关系数等于：0.92，和前面相关系数矩阵的计算结果一致。\n",
    "# 注意：data的取值，取列向量进行计算。\n",
    "\n",
    "# data[:, 0]  相关系数, data[:, 1]  p值\n",
    "print('矿石有用成分之间有无关联性（Pearsonr函数）：', st.pearsonr(data[:, 0], data[:, 1]))\n",
    "\n",
    "# spearmanr函数无需假设数据服从正态分布，是一种典型的非参数检验，原假设为数据不相关\n",
    "print('\\n矿石有用成分之间有无关联性（spearmanr）：', st.spearmanr(data[:, 0], data[:, 1]))\n",
    "\n",
    "# kendalltau也是一种非参数检验；原假设为数据不相关\n",
    "print('\\n矿石有用成分之间有无关联性（kendalltau）：', st.kendalltau(data[:, 0], data[:, 1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7df635b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KendalltauResult(correlation=0.3333333333333333, pvalue=0.21637345679012346)\n"
     ]
    }
   ],
   "source": [
    "# 测试两种不同分布的数据是否相关\n",
    "a = st.t.rvs(size=10, df=3)\n",
    "b = st.f.rvs(size=10, dfn=10, dfd=9)\n",
    "\n",
    "# 结果很显然不能拒绝不相关的原假设。p-value>0.05\n",
    "# correlation 相关系数，pvalue p值\n",
    "print(st.kendalltau(a, b))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39d7c1e4",
   "metadata": {},
   "source": [
    "#### 1.5.2 多元数据的数字特征\n",
    "\n",
    "> 示例：\n",
    "```\n",
    "为了解某种橡胶的性能，抽取10个样品，每个测量三项指标：硬度、变形和弹性，其数据如表。计算样本均值，样本协方差矩阵和样本相关矩阵，并用Pearson相关性检验确认变量X1，X2，X3是否相关？\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3d7aa834",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3项指标的协方差矩阵：\n",
      "       硬度    变形    弹性\n",
      "硬度  4.77 -1.94  1.93\n",
      "变形 -1.94  3.83  0.62\n",
      "弹性  1.93  0.62  6.19\n",
      "\n",
      "3项指标的相关系数矩阵：\n",
      "       硬度    变形    弹性\n",
      "硬度  1.00 -0.45  0.36\n",
      "变形 -0.45  1.00  0.13\n",
      "弹性  0.36  0.13  1.00\n"
     ]
    }
   ],
   "source": [
    "# 多元数据的数字特征\n",
    "\n",
    "# x1，x2，x3分别代表橡胶的硬度、变形和弹性\n",
    "x1 = np.array([65, 70, 70, 69, 66, 67, 68, 72, 66, 68])\n",
    "x2 = np.array([45, 45, 48, 46, 50, 46, 47, 43, 47, 48])\n",
    "x3 = np.array([27.6, 30.7, 31.8, 32.6, 31.0, 31.3, 37.0, 33.6, 33.1, 34.2])\n",
    "data = np.c_[x1, x2, x3]\n",
    "\n",
    "# 协方差矩阵\n",
    "print('3项指标的协方差矩阵：\\n', pd.DataFrame(np.round(np.cov(data.T), 2), \n",
    "                                   index=['硬度', '变形', '弹性'], columns=['硬度', '变形', '弹性']))\n",
    "\n",
    "# 相关系数矩阵\n",
    "print('\\n3项指标的相关系数矩阵：\\n', pd.DataFrame(np.round(np.corrcoef(data.T), 2),\n",
    "                                      index=['硬度', '变形', '弹性'], columns=['硬度', '变形', '弹性']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0efd5594",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "橡胶的硬度和变形之间有无相关性（pearsonr函数）： (-0.4548831555240914, 0.18653609957909684)\n",
      "\n",
      "橡胶的硬度和弹性之间有无相关性（pearsonr函数）： (0.35612908480948774, 0.3124791340545788)\n",
      "\n",
      "橡胶的变形和弹性之间有无相关性（pearsonr函数）： (0.12659622460695796, 0.7274664789312604)\n"
     ]
    }
   ],
   "source": [
    "print('橡胶的硬度和变形之间有无相关性（pearsonr函数）：', st.pearsonr(data[:, 0], data[:, 1]))\n",
    "print('\\n橡胶的硬度和弹性之间有无相关性（pearsonr函数）：', st.pearsonr(data[:, 0], data[:, 2]))\n",
    "print('\\n橡胶的变形和弹性之间有无相关性（pearsonr函数）：', st.pearsonr(data[:, 1], data[:, 2]))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4cbe3d9",
   "metadata": {},
   "source": [
    "## 1.6 多元数据的基本图形表示\n",
    "\n",
    "> 示例：\n",
    "```\n",
    "为考查学生的学习情况，学校随机的抽取12名学生的5门课期末考试的成绩，如表所示。画出12名学生学习成绩的轮廓图。\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d4cbc5a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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x0k/hN7PeORSsMBStIkluXZltxjzQbGZmBYeCmZkVHApmZlZwKJiZWcGhYGZmBc8+sn7ziXxmI59DwfrNO3OzkW9A3UeSth6uQszMrHwDbSlcARw3VB8u6bPAsfnpG4Hbck1vBxZHxHlD9VlmZta3PlsKkrq+ptdrEEjaV9K2/f3wiPheREyNiKnAcuAPQENEHAzsJmlCf9/LzMwGrz/dR2dIapY0Hbhf0n6SOiT9XtJ9kv5T0hclnQD8GNhuoEVIegswFtgZWJQXLwWmDPS9zMxs0/UnFNqBScBRwD3AB4CvAK0RsTcwKSLmAQcCUyKifRPqmA18jxQoq/OyNaSgeA1Jp0hqk9TW3r4pH2VmZpVUHFOQ9E5gGfAAKTzGAHsClwHNwK8kNQO3S/ppRPzjphSQu6emAXOAI4FRedVoegitiJgPzAdobW31dBgzsyHU20DzM8BOwKvA94G7gd8Ck4G/Acd3ec1HJH0fmB0RGwZYwyHAbRERku4kdRndSmqdPDjA9zIzs0GoGAoRsbEbB0mXkbp1VgMfA14GPpdXtwALgZtI3UDfHmAN7wduyY+vBZZLGgfMIAWQWSl8bwmrR/2akhoRKzY+lrRVRMzq6XWS9h9oARHxpS6Pn5c0FZgOzIuItQN9P7Oh4HtLWL3q18lrkmZJukTp0Om7knbKyw/o9tKfDragiOiIiEUR8cxg38vMzAam11CQtKuk00nnEDwN/Bz4I/BBSaOBnSQdvPH1EfHycBZrZmbDq6/uoz1I00L/iTQ76NX8eBzQCPwAuF7SERHx0nAWambl8fhK/eg1FCJiKbBU0nbAmcB7ImKapJOBYyLi+3nG0FeB04a/XDOrNo+v1Jf+DjS/CMyVdJQkRcTlwOV59WJSq8HMzDZzA7ogXkRc08OyFT291szMNj9Dcuc1SXtLuljSPV0Hns3MbPMyJKEQEfeRzj7eCrh9KN7TzMyqb8ChIGmcpO9vPFchLzsc+DxwxCZc5sLMzGpEn2MKkm4CZgGKiIeA3YDHgWskPUS6mum7gOkR8eQw1mpmZsOsPwPNt0fEw5IulPQfEbFC0h3AC6TrH70KTI6IZ4e1UjMzG3Z9dh9FxJn54W+A0yRdRTqz+UVgInAYcNawVWhmZlXTa0tB0ieAVmAC6X4K2wIfyy2HvYEtIuIxSV+X9OaI+PPwl2xmZsOlr5bCh4FHgVMi4hCgLQfCGGAlcJekx4AfAfsOb6lmZjbc+rrMxbHdFq2S9D8i4g+SfgacmJd/BrhQ0kERsX44CjUzs+E30CmpK4GDJG0L/JB0n+YAbgMcCGZmm7kBXeYC+CvpmkefB9YBYyQ9DVzgQDAz2/wNNBSeBcZFxHMbF0gaC5wuaXxE/OtQFmdmZtU1oO6jiPhb10DIy/4UEV8AnpI0aiiLMzOz6hpoS6GiiLhxqN7LzMzKMSQXxDMzs5HBoWBmZoWaCAVJl+YrrSJpgaRVkuaWXZeZWb0pPRQkHQLsGBE/l3QU0BARBwO7SZpQcnlmZnWl1FCQ1AhcBjwu6SPAVGBRXr0UmFJSaWZmdanslsIJwH8C84ADgdnA6rxuDTC2+waSTpHUJqmtvb29aoWamdWDskPhHcD8iHiGdNmMW4CN5zqMpof6ImJ+RLRGRGtLS0v1KjUzqwNlh8IjpDu5QbpE9650dhlNIt3hzczMqmTITl7bRAuA/yPpY0AjaUzhOknjgBnA5BJrMzOrO6WGQkT8N3BM12WSpgLTgXkRsbaEsszM6lbZLYXXiYgOOmcgmZlZFZU9pmBmZjXEoWBmZgWHgpmZFRwKZmZWcCiYmVnBoWBmZgWHgpmZFRwKZmZWcCiYmVnBoWBmZgWHgpmZFRwKZmZWcCiYmVnBoWBmZgWHgpmZFRwKZmZWcCiYmVnBoWBmZgWHgpmZFRwKZmZWcCiYmVmhtFCQtKWkJyXdnP/sK2mBpFWS5pZVl5lZPSuzpbAfsDAipkbEVGAC0BARBwO7SZpQYm1mZnVpyxI/ezLwYUnTgHuBl4FFed1SYArwcEm1mZnVpTJbCncAh0bEgUAjMANYndetAcb2tJGkUyS1SWprb2+vTqVmZnWizFC4JyKezo/bgB2AUfn5aCrUFhHzI6I1IlpbWlqqUKaZWf0oMxSukjRJUgNwJDCb1GUEMAl4vKS6zMzqVpljCl8B/h0QcB1wLbBc0jhSV9Lk8kozM6tPpYVCRPyeNAOpIGkqMB2YFxFrSyjLzKyuldlSeJ2I6KBzBpKZmVWZz2g2M7OCQ8HMzAoOBTMzKzgUzMys4FAwM7OCQ8HMzAoOBTMzKzgUzMys4FAwM7OCQ8HMzAoOBTMzKzgUzMys4FAwM7OCQ8HMzAoOBTMzK9TU/RTMNheShuR1ETEU5ZgNGYeC2SbwztxGKncfmZlZwaFgZmYFh4KZmRUcCmZmVig9FCSNlfTb/HiBpFWS5pZdl5lZPSo9FICLgFGSjgIaIuJgYDdJE0quy8ys7pQaCpLeB7wIPANMBRblVUuBKSWVZWZWt0oLBUlbAV8GzsiLtgNW58drgLEVtjtFUpuktvb29uEv1MxsCCxcuJB99tmHhoYG9tlnHxYuXFh2ST0q8+S1M4BLI+K5fNbnC8CovG40FQIrIuYD8wFaW1t9BpGZ1byFCxcyZ84cFixYwJQpU1ixYgUnnXQSAMcdd1zJ1b1Wmd1HhwKzJd0M7A8cTmeX0STg8VKqMjMbYueffz4LFixg2rRpNDY2Mm3aNBYsWMD5559fdmmvo1o4XT8HwxHAcuAmYAYwOSLW9rZda2trtLW1DX+BZjYokur60iANDQ289NJLNDY2FsvWr1/PNttsw4YNG6pej6Q7I6K1p3W1MPuIiJgaEc+TBptvBab1FQhmZpuLiRMnsmLFitcsW7FiBRMnTiypospqIhQ2ioiOiFgUEc+UXYuZ2VCZM2cOJ510EsuWLWP9+vUsW7aMk046iTlz5pRd2uv4KqlmZsPsuOOOY+XKlcyYMYOXX36ZrbfempkzZ9bcIDPUWEvBzGwkWrhwIYsXL2bJkiWsW7eOJUuWsHjx4pqclupQMDMbZp59VCWefWS2efDsI88+MjOzzLOPzMys4NlHZmZW2DjL6NRTT+X+++9n4sSJnH/++TU5+8hjCmY27Op9TKHWeEzBzMz6xaFgZmYFh4KZmRUcCmZmVvDsIzMblHyTrEG/zgPRtcGhYGaD4p35yOLuIzMzKzgUzMys4FAwM7OCQ8HMzAoOBTMzKzgUzMys4FAwM7OCQ8HMzAqb9aWzJbUDT5RdB7AD8Jeyi6gR/i06+bfo5N+iUy38FrtEREtPKzbrUKgVktoqXZu83vi36OTfopN/i061/lu4+8jMzAoOBTMzKzgUhsb8sguoIf4tOvm36OTfolNN/xYeUzAzs4JbCmbDQFKzpOmSdii7FrOBcCgMkqSxkpaXXUfZJL1B0hJJSyX9VNJWZddUFklNwC+AA4Flknqc+lcv8r+R35ZdR5kkbSnpSUk35z/7ll1TJQ6FQcj/+K8Etiu7lhpwPPCNiDgMeAb4QMn1lGk/4LSIOB+4Hjig5HrKdhEwquwiSrYfsDAipuY/95ZdUCUOhcHZABwLPF92IWWLiEsj4ob8tAX4c5n1lCkifh0Rt0p6L6m1sKrsmsoi6X3Ai6QDhXo2GfiwpNslLZBUs3e9dCgMQkQ8HxFry66jlkg6GGiKiFvLrqVMSjckPhboANaXXE4pchfil4Ezyq6lBtwBHBoRBwKNwAdLrqcih4INGUnNwHeAT5ddS9kimQ3cAxxRdj0lOQO4NCKeK7uQGnBPRDydH7cBE8ospjcOBRsS+ajwR8CZEVEL16MqjaT/LemE/PSNwHPlVVOqQ4HZkm4G9pd0ecn1lOkqSZMkNQBHAr8ruZ6KfJ7CEJB0c0RMLbuOMkn6LPBVOv+yfy8iri6xpNLkCQiLgK2B3wOzo87/odX7vxFJ+wD/Dgi4LiLmlFxSRQ4FMzMruPvIzMwKDgUzMys4FMzMrOBQMDOzgkPBrEokbV12DWZ9cSiY9YOkPSUtkjS92/KtJE2RdI6kGyQdWWH7McDdkq6S1ChpTH7PsyS1STq1Gt/DrC8OBbN+iIgHgcXAxyW9VdIySacDPydd1+arwDrgzO7bSjoAuBb4Z+BTwPbAg8A44FtAALsM/7cw65tDwayfIuLKiPhURDwFbAssAR4FPgTsAYwHTu5hu7tIIbBFRLwSEc8Cd0TEMuBV0hnPX6zOtzDrXc1eqc+slkjagnQRs1sj4i+k+yXsSLq20Y9JZy8/0f2SyPmyBu8EdgNOlNQYEdcBSyWdTTowuyIiXq3etzGrzGc0m/VC0ptIR//7ka5ZMysirpJ0EDALeJl06fR7gd9FxD15u/cDF+R1NwJfAt4REQ90e/9G4O3AwxHx16p8KbNeOBTMepEvgb0X8ACwEnhPRLyalzcDR5PGA7YBDgIeiIiT87YtEdEuaR4pUL5CalWsJwXKEcBo4CbguxHxp2p+N7OeuPvIrBf5Qnb3A0jqyIFwGqlLqIl0JdD5wDzgmYhY12XbdkkfIgXGtcBY0t23Pgp8V9J4YHVEfLua38msNx5oNuu/hvzfq4BPkg6qziPdWezTpDvxFSTtDxxCmnW0LenS4sdK2kvShaQxihMkfa0KtZv1i0PBrB8k7Q7sJOlSUgvhO8DFwGOkWUgvACslHZhfvz3QEhFn5EHk7YEtI2JdHle4hDSd9ZyIeN00VrOyOBTM+mcmaQzhItLA89URcT0pIIiIi0j3Yr5B0iJgbJd7VkPqOgpJzTlgxgO7A8dJulLSSkm/lrRnFb+T2et4oNmsHyQdBTwL/Al4euO9uSVdAiyKiFv62P4+UnfRTFI31CPAk8BTpJvav0Lqfnqp3m/IY+XyQLNZP0TENRVWbUkKi75cnW9TOnfoqjIbem4pmA2CpL2Ah3zymY0UDgUzMyt4oNnMzAoOBTMzKzgUzMys4FAwM7OCQ8HMzAr/HzPeIXIuHkwnAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 学生成绩，Xn代表某一门课所有抽样学生的成绩\n",
    "X1 = [99, 99, 100, 93, 100, 90, 75, 93, 87, 95, 76, 85]   # 政治\n",
    "X2 = [94, 88, 98, 88, 91, 78, 73, 84, 73, 82, 72, 75]  # 语文\n",
    "X3 = [93, 96, 81, 88, 72, 82, 88, 83, 60, 90, 43, 50]  # 外语\n",
    "X4 = [100, 99, 96, 99, 96, 75, 97, 68, 76, 62, 67, 34]  # 数学\n",
    "X5 = [100, 97, 100, 96, 78, 97, 89, 88, 84, 39, 78, 37]  # 物理\n",
    "scores = np.c_[X1, X2, X3, X4, X5]\n",
    "\n",
    "# plt.polar(scores)\n",
    "\n",
    "# 课程的轮廓图\n",
    "plt.figure()\n",
    "plt.xlabel('学生', size=15)\n",
    "plt.ylabel('成绩', size=15)\n",
    "plt.title('课程成绩轮廓图', size=15)\n",
    "\n",
    "# 课程表\n",
    "courses = np.array(['政治', '语文', '外语', '数学', '物理'])\n",
    "\n",
    "# 画出每门课的轮廓线\n",
    "for i in np.arange(0, scores.shape[1]):\n",
    "    # scores[:, i]  列切片\n",
    "    plt.plot(np.arange(1, scores.shape[0]+1), scores[:, i], label=courses[i])\n",
    "    plt.legend()\n",
    "\n",
    "plt.xticks(np.arange(1, scores.shape[0]+1),\n",
    "           ['学生'+str(i+1) for i in np.arange(0, scores.shape[0])])\n",
    "\n",
    "plt.xticks(rotation=45, size=12)\n",
    "plt.yticks(size=12)\n",
    "\n",
    "# 学生轮廓图\n",
    "plt.figure()\n",
    "plt.xlabel('课程', size=15)\n",
    "plt.ylabel('成绩', size=15)\n",
    "plt.title('学生成绩轮廓图', size=15)\n",
    "\n",
    "# 画出每个学生的轮廓线\n",
    "for i in np.arange(0, scores.shape[0]):\n",
    "    # cores[i, :]  行切片\n",
    "    plt.plot(np.arange(1, scores.shape[1]+1), scores[i, :], label='学生'+str(i+1))\n",
    "    plt.legend(loc=3)\n",
    "\n",
    "plt.yticks(size=12)\n",
    "plt.xticks(np.arange(1, scores.shape[1]+1), courses, size=12)\n",
    "\n",
    "# 课程成绩箱线图\n",
    "plt.figure()\n",
    "plt.xlabel('课程', size=15)\n",
    "plt.ylabel('成绩', size=15)\n",
    "plt.title('课程成绩箱线图', size=15)\n",
    "# 以列向量作为对象，即成绩为x轴\n",
    "plt.boxplot(scores)\n",
    "\n",
    "# 学生成绩箱线图\n",
    "plt.figure()\n",
    "plt.xlabel('学生', size=15)\n",
    "plt.ylabel('成绩', size=15)\n",
    "plt.title('学生成绩箱线图', size=15)\n",
    "# 转置之后即以学生为x轴\n",
    "plt.boxplot(scores.T)\n",
    "plt.xticks(np.arange(1, scores.shape[0] + 1))\n",
    "plt.xticks(np.arange(1, scores.shape[0] + 1),\n",
    "          ['学生'+str(i+1) for i in np.arange(0, scores.shape[0])])\n",
    "plt.xticks(rotation=45, size=12)\n",
    "plt.yticks(size=12)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fdc83f9b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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